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yt-pipeline

Automate YouTube topic research and generate structured takeaways via NotebookLM.

Updated Apr 21, 2026
Search Tags:#research#youtube#notebooklm#content-strategy#video-analysis#topic-analysis
One-click install
npx skills add https://github.com/scanbott/claude-skills --skill yt-pipeline
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: yt-pipeline
Source: https://github.com/scanbott/claude-skills/tree/main/yt-pipeline
Command: npx skills add https://github.com/scanbott/claude-skills --skill yt-pipeline

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

End-to-end YouTube research is automated: discovering relevant videos, analyzing trends, and producing structured takeaways to inform content strategy and decision-making.

Core Features & Use Cases

  • End-to-end YouTube research pipeline: topic input, search, multi-angle video scoring, NotebookLM integration, deep analysis prompts, and optional deliverables like podcasts, slide decks, reports, or scripts.
  • Automated video selection: selects 5-8 best videos by relevance, engagement, recency, and diversity.
  • Deliverables generation: creates notebooks and supports outputs (podcast, slide deck, report, YouTube script).
  • Reusable workflow for competitor analysis, topic deep-dives, and knowledge capture.

Quick Start

Provide a topic to run the end-to-end pipeline and generate a NotebookLM notebook with takeaways.

Frequently Asked Questions about yt-pipeline

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I automate YouTube topic research and trend analysis?▼

Automate YouTube topic research by discovering relevant videos, scoring them by engagement and recency, and generating structured takeaways. This pipeline searches YouTube, selects top videos, and builds a NotebookLM notebook to analyze trends and inform content strategy.

Can I generate a content strategy report from YouTube videos automatically?▼

Generate a content strategy report from YouTube videos by running deep analysis prompts on selected media. The pipeline outputs structured takeaways and optional deliverables like reports, slide decks, or scripts based on the analyzed video content.

How do I select the best YouTube videos for competitor analysis?▼

Select the best YouTube videos for competitor analysis using automated multi-angle video scoring. The pipeline evaluates relevance, engagement, recency, and diversity to choose 5-8 top videos for deep topic investigation.

Do I need NotebookLM integration to run end-to-end video analysis?▼

NotebookLM integration is required to run end-to-end video analysis. The pipeline builds a NotebookLM notebook, runs deep analyses, and outputs a NotebookLM URL alongside a structured research report.

What's the best way to capture knowledge from multiple YouTube videos?▼

Capture knowledge from multiple YouTube videos by running an end-to-end research pipeline. It discovers relevant content, selects diverse top videos, and generates structured takeaways and optional deliverables like podcasts or scripts.

What limitations exist when automating YouTube research with Python scripts?▼

Automating YouTube research with Python scripts requires yt-search, NotebookLM integration, and a configured environment to run. It depends on these external tools to search, analyze, and output structured takeaways successfully.

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